Used to serve hierarchical data (used in e.g., icicle plots and heatmaps).
df_to_tree(root, df)
Helper function to recursively build nested response for getHierarchy
Root of subtree
data.frame containing children to process
get_default_chart_type()
Get name of default chart type for this data type
get_measurements()
Get description of measurements served by this object
getCombined(
measurements = NULL,
seqName,
start = 1,
end = 1000,
order = NULL,
nodeSelection = NULL,
selectedLevels = NULL
)
Return the counts aggregated to selected nodes for the given samples
Samples to get counts for
name of datasource
Start of feature range to query
End of feature range to query
Ordering of nodes
Node-id and selectionType pairs
Current aggregation level
getHierarchy(nodeId = NULL)
Retrieve feature hierarchy information for subtree with specified root
Feature identifier with level info
getReducedDim(method = NULL, gene = NULL)
Compute PCA over all features for given samples
which dimension to access
send expression of a gene back with the dimensions
getRows(
measurements = NULL,
start = 1,
end = 1000,
selectedLevels = 3,
selections = NULL
)
Return the sample annotation and features within the specified range and level for a given sample and features
Samples to retrieve for
Start of feature range to query
End of feature range to query
Node-id and selectionType pairs
Current aggregation level
propagateHierarchyChanges(
selection = NULL,
order = NULL,
selectedLevels = NULL,
request_with_labels = FALSE
)
Update internal state for hierarchy
Node-id and selectionType pairs
Ordering of features
Current aggregation level
For handling requests using fData entries from MRexperiment
row_to_dict(row)
Helper function to format each node entry for getHierarchy response
Information for current node.
searchTaxonomy(query = NULL, max_results = 15)
Return list of features matching a text-based query
String of feature for which to search
Maximum results to return
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